New models of collaboration in genome-wide association studies: the Genetic Association Information Network

被引：224

作者：

Manolio, Teri A.

Rodriguez, Laura Lyman

Brooks, Lisa

Abecasis, Goncalo

Ballinger, Dennis

Daly, Mark

Donnelly, Peter

Faraone, Stephen V.

Frazer, Kelly

Gabriel, Stacey

Gejman, Pablo

Guttmacher, Alan

Harris, Emily L.

Insel, Thomas

Kelsoe, John R.

Lander, Eric

McCowin, Norma

Mailman, Matthew D.

Nabel, Elizabeth

Ostell, James

Pugh, Elizabeth

Sherry, Stephen

Sullivan, Patrick F.

Thompson, John F.

Warram, James

Study, GoKinD

Wholley, David

Milos, Patrice M.

Collins, Francis S.

机构：

[1] US NIH, NHGRI, Bethesda, MD 20892 USA

[2] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA

[3] Perlegen Sci, Mountain View, CA 94043 USA

[4] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA

[5] Univ Oxford, Oxford OX1 3TG, England

[6] SUNY Upstate Med Univ, Syracuse, NY 13210 USA

[7] Scripps Res Inst, La Jolla, CA 92037 USA

[8] Evanston NW Healthcare, Evanston, IL 60201 USA

[9] Northwestern Univ, Evanston, IL 60201 USA

[10] NIMH, NIH, Bethesda, MD 20892 USA

[11] Univ Calif San Diego, Dept Psychiat, La Jolla, CA 92093 USA

[12] Vet Admin San Diego Healthcare Syst, La Jolla, CA 92093 USA

[13] Fdn NIH, Bethesda, MD 20892 USA

[14] Eli Lilly & Co, Lilly Corp Ctr, Indianapolis, IN 46285 USA

[15] Natl Lib Med, NIH, Bethesda, MD 20892 USA

[16] NHLBI, NIH, Bethesda, MD 20892 USA

[17] Johns Hopkins Univ, Ctr Inherited Dis Res, Baltimore, MD 21224 USA

[18] Univ N Carolina, Chapel Hill, NC 27599 USA

[19] Pfizer Inc, Pharmacogenom Pfizer Global Res & Dev, Groton, CT 06340 USA

[20] Joslin Diabet Ctr, Boston, MA 02215 USA

[21] Helicos BioSci Corp, Cambridge, MA 02139 USA

来源：

NATURE GENETICS | 2007年 / 39卷 / 09期

关键词：

D O I：

10.1038/ng2127

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

The Genetic Association Information Network ( GAIN) is a public- private partnership established to investigate the genetic basis of common diseases through a series of collaborative genome-wide association studies. GAIN has used new approaches for project selection, data deposition and distribution, collaborative analysis, publication and protection from premature intellectual property claims. These demonstrate a new commitment to shared scientific knowledge that should facilitate rapid advances in understanding the genetics of complex diseases.

引用

页码：1045 / 1051

页数：7

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